Composition of commercial truffle flavored oils with GC–MS analysis and discrimination with an electronic nose

Pacioni, Giovanni; Cerretani, Lorenzo; Procida, Giuseppe; Cichelli, Angelo

doi:10.1016/j.foodchem.2013.09.016

Cited by 67 publications

(52 citation statements)

References 17 publications

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“…These observations suggest that DMDS is a relatively common odor, and it may be sensed as a food cue by the bacterivorous C. elegans . DMDS, MB, and DTP have been previously identified as odors that contribute to truffle aroma (Díaz et al, 2002; Pacioni et al, 2014; Pennazza et al, 2013); we therefore tested C. elegans chemotaxis in response to commercial truffle oil. We found that truffle oil was very attractive to C. elegans (Figure 3B).…”

Section: Resultsmentioning

confidence: 99%

Nematophagous fungus Arthrobotrys oligospora mimics olfactory cues of sex and food to lure its nematode prey

Hsueh

Gronquist

Schwarz

et al. 2017

eLife

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To study the molecular basis for predator-prey coevolution, we investigated how Caenorhabditis elegans responds to the predatory fungus Arthrobotrys oligospora. C. elegans and other nematodes were attracted to volatile compounds produced by A. oligospora. Gas-chromatographic mass-spectral analyses of A. oligospora-derived volatile metabolites identified several odors mimicking food cues attractive to nematodes. One compound, methyl 3-methyl-2-butenoate (MMB) additionally triggered strong sex- and stage-specific attraction in several Caenorhabditis species. Furthermore, when MMB is present, it interferes with nematode mating, suggesting that MMB might mimic sex pheromone in Caenorhabditis species. Forward genetic screening suggests that multiple receptors are involved in sensing MMB. Response to fungal odors involves the olfactory neuron AWCs. Single-cell RNA-seq revealed the GPCRs expressed in AWC. We propose that A. oligospora likely evolved the means to use olfactory mimicry to attract its nematode prey through the olfactory neurons in C. elegans and related species.DOI: http://dx.doi.org/10.7554/eLife.20023.001

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Section: Resultsmentioning

confidence: 99%

Nematophagous fungus Arthrobotrys oligospora mimics olfactory cues of sex and food to lure its nematode prey

Hsueh

Gronquist

Schwarz

et al. 2017

eLife

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“…So EN sensor array forms different responding pattern for Kiwi fruits with different storage days. EN system's unique functions have been confirmed such as analysis of aroma compounds of commercial cider vinegars, 33 composition of commercial truffle flavored oils, 34 detection of adulteration in cherry tomato juices, 35 etc. All sensors' initiative responses to Kiwi fruit are close to zero.…”

Section: Weight Lossmentioning

confidence: 97%

“…In recent years, EN detection technique has aroused increasing research interest, especially in food, such as vinegars, 44,45 truffle flavored oils, 34 cherry tomato juices, 46 Chinese green tea. 47 As it shown in Figure 6, EN system's structure consists of 3 main components: signal control and its collection (U1), sensory arrays (U2) and gas supply device (U3).…”

Section: En Detection Systemmentioning

confidence: 99%

Kiwi fruit (Actinidia chinensis) quality determination based on surface acoustic wave resonator combined with electronic nose

Liu

Hui

2015

Bioengineered

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Keywords: electronic nose, frequency, Kiwi fruit quality, signal-to-noise ratio, surface acoustic wave resonatorIn this study, electronic nose (EN) combined with a 433 MHz surface acoustic wave resonator (SAWR) was used to determine Kiwi fruit quality under 12-day storage. EN responses to Kiwi samples were measured and analyzed by principal component analysis (PCA) and stochastic resonance (SR) methods. SAWR frequency eigen values were also measured to predict freshness. Kiwi fruit sample's weight loss index and human sensory evaluation were examined to characteristic its quality and freshness. Kiwi fruit's quality predictive models based on EN, SAWR, and EN combined with SAWR were developed, respectively. Weight loss and human sensory evaluation results demonstrated that Kiwi fruit's quality decline and overall acceptance decrease during the storage. Experiment result indicated that the PCA method could qualitatively discriminate all Kiwi fruit samples with different storage time. Both SR and SAWR frequency analysis methods could successfully discriminate samples with high regression coefficients (R = 0.98093 and R = 0.99014, respectively). The validation experiment results showed that the mixed predictive model developed using EN combined with SAWR present higher quality prediction accuracy than the model developed either by EN or by SAWR. This method exhibits some advantages including high accuracy, non-destructive, low cost, etc. It provides an effective way for fruit quality rapid analysis.

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“…So, we developed, optimized and validated a method based on dynamic headspace sampling [11][12][13][14][15][16], used for the first time in this field, which allowed us to obtain the optimal features for the analysis of impurities in illicit drug samples of MAMP. In this paper we report the results obtained from the analysis of samples containing MAMP seized by the judicial authority and delivered to our laboratory.…”

Section: Introductionmentioning

confidence: 99%

Validation Study of Analysis of 1-Phenyl-2-Propanone in Illicit Methamphetamine Samples by Dynamic Headspace Gas Chromatography Mass Spectrometry

Arnoldi¹,

Roda²,

Casagni³

et al. 2016

J Chromatogr Sep Tech

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Composition of commercial truffle flavored oils with GC–MS analysis and discrimination with an electronic nose

Cited by 67 publications

References 17 publications

Nematophagous fungus Arthrobotrys oligospora mimics olfactory cues of sex and food to lure its nematode prey

Nematophagous fungus Arthrobotrys oligospora mimics olfactory cues of sex and food to lure its nematode prey

Kiwi fruit (Actinidia chinensis) quality determination based on surface acoustic wave resonator combined with electronic nose

Validation Study of Analysis of 1-Phenyl-2-Propanone in Illicit Methamphetamine Samples by Dynamic Headspace Gas Chromatography Mass Spectrometry

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